Lecture

Stationary Mean-Field: Neuronal Dynamics

Description

This lecture covers the concept of stationary mean-field in computational neuroscience, focusing on population activity and the asynchronous state to predict neuronal activity. It discusses the mean-field argument, single neuron firing rates, and the relationship between single neuron and population rates.

In MOOCs (2)

Instructor

mollit esse eu qui

Ullamco pariatur sint aute adipisicing officia in nisi exercitation ad irure occaecat dolor deserunt. Culpa ipsum est in ea eiusmod reprehenderit mollit ullamco ullamco fugiat eiusmod nulla elit tempor. Elit deserunt consequat quis laboris. Minim pariatur ex anim in ex elit. Veniam pariatur aliquip dolor anim nulla ad sunt laborum aute exercitation magna cillum sint consequat. Laboris minim et quis officia aliquip excepteur. Magna occaecat deserunt cupidatat et ut amet eiusmod quis.

Official source

https://mediaspace.epfl.ch/media/0_cvrxk610

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Biology

Neuroscience: Computational neuroscience

Information engineering

Machine learning: Artificial neural networks

Related lectures (34)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.